The Challenge
A B2B marketing agency needed to target niche local businesses (plumbers, roofers, dentists) across hundreds of US cities. Buying lead lists from traditional vendors yielded outdated data with broken emails and disconnected phone numbers. Manual scraping via virtual assistants was too slow, too expensive, and resulted in highly inconsistent data quality.
The Solution Architecture
We engineered an automated, serverless data extraction pipeline utilizing Apify for deep scraping and n8n for data orchestration and cleaning.
- Automated Google Maps Extraction: Using Apify's Google Maps scraper, the system automatically runs geo-targeted searches for specific niches, extracting business names, websites, and review ratings.
- Deep Website Crawling: The pipeline automatically visits every extracted website, parsing the DOM to find hidden contact emails, social media profiles, and owner names.
- AI Data Cleaning: An AI agent processes the raw scraped data, standardizing formats, fixing casing, and discarding junk or generic emails (e.g., info@).
- CRM Ingestion: Clean, verified, and enriched data is pushed in real-time to the agency's GoHighLevel CRM, automatically triggering targeted SMS and email outreach sequences.
Impact Matrix
Leads Generated
↑ 10k+/wk
Data Accuracy
↑ 95%
Cost Per Lead
$0.02
Performance Growth Matrix
Before: 500
After: 10500
Weekly Leads
Before: 28%
After: 3%
Email Bounce Rate
Before: 40hrs
After: 1hrs
Time Spent Sourcing
Before: 110%
After: 450%
Campaign ROI
Before Hexicle
After Automation
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